30 September 2011 A selective-update affine projection algorithm with selective input vectors
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Proceedings Volume 8285, International Conference on Graphic and Image Processing (ICGIP 2011); 828515 (2011) https://doi.org/10.1117/12.913391
Event: 2011 International Conference on Graphic and Image Processing, 2011, Cairo, Egypt
Abstract
This paper proposes an affine projection algorithm (APA) with selective input vectors, which based on the concept of selective-update in order to reduce estimation errors and computations. The algorithm consists of two procedures: input- vector-selection and state-decision. The input-vector-selection procedure determines the number of input vectors by checking with mean square error (MSE) whether the input vectors have enough information for update. The state-decision procedure determines the current state of the adaptive filter by using the state-decision criterion. As the adaptive filter is in transient state, the algorithm updates the filter coefficients with the selected input vectors. On the other hand, as soon as the adaptive filter reaches the steady state, the update procedure is not performed. Through these two procedures, the proposed algorithm achieves small steady-state estimation errors, low computational complexity and low update complexity for colored input signals.
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NamWoong Kong, NamWoong Kong, JaeWook Shin, JaeWook Shin, PooGyeon Park, PooGyeon Park, "A selective-update affine projection algorithm with selective input vectors", Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 828515 (30 September 2011); doi: 10.1117/12.913391; https://doi.org/10.1117/12.913391
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